Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
40010
Single Precision Score
70410
Half Precision Score
29808
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | December 30 2025 03:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16452
3.06 KIPS |
|
|
Image Classification (HP)
|
100% |
25394
4.72 KIPS |
|
|
Image Classification (Q)
|
100% |
14410
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30903
501.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
47049
762.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
27454
446.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
198079
231.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
806326
940.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
179456
210.2 IPS |
|
|
Object Detection (SP)
|
100% |
20845
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
35186
2.79 KIPS |
|
|
Object Detection (Q)
|
86% |
17040
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
62225
739.4 IPS |
|
|
Face Detection (HP)
|
100% |
91478
1.09 KIPS |
|
|
Face Detection (Q)
|
97% |
49945
595.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
98695
760.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
171726
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
73221
584.7 IPS |
|
|
Style Transfer (SP)
|
100% |
371550
477.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1195315
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
305632
394.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56308
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93482
3.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42615
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
4559
6.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5840
7.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2777
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
8549
147.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8619
148.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3461
64.9 IPS |
